Data Architect — Hybrid Lakehouse & AI-Ready Platform

Utility Warehouse; Farringdon; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Hybrid working (2 days in office)

Private health insurance

Pension scheme

Annual bonus 15-40%

Life assurance

Employee assistance programme

Mortgage advice

Discounts on UW services

Job summary

Utility Warehouse is building a single enterprise data platform on Google Cloud to power operations, analytics and autonomous AI agents. You will own the data architecture, define the core data model, and drive governance and ADRs with engineering teams.

You will lead hands-on work in SQL and Python, prototype reference architectures, and ensure scalable, open lakehouse design across the data estate.

Qualifications

• Experience leading end-to-end data architectures for modern data platforms.
• Hands-on coding in SQL and Python with proofs of concept.
• Strong knowledge of data vault and dimensional modelling.
• Understanding of governance, lineage and privacy by design.

Responsibilities

• Own end-to-end data architecture for UW's enterprise data platform on Google Cloud.
• Prototype architectures, write SQL/Python, build proofs of concept.
• Design the lakehouse platform and evolution roadmap on Google Cloud.
• Define shared data model across Energy, Broadband, Mobile, Insurance.
• Architect AI-ready data foundations including semantic layers and retrieval interfaces.
• Embed data governance, lineage, access controls and data contracts by design.

Skills

Data architecture

Lead data architect

SQL

Python

Cloud data warehousing

lakehouse design

Data governance

ADR drafting

Tools

Google Cloud

BigQuery

BigLake

Dataplex

Dataproc

Vertex AI

Pub/Sub

Dataflow

Kafka

Terraform

CI/CD

Job description

Utility Warehouse is building a single enterprise data platform on Google Cloud to power operations, analytics and autonomous AI agents. You will own the data architecture, define the core data model, and drive governance and ADRs with engineering teams.

You will lead hands-on work in SQL and Python, prototype reference architectures, and ensure scalable, open lakehouse design across the data estate.